SUI dominates 2026 L1 volume with $43B – What it means for price

ambcryptoPublished on 2026-02-24Last updated on 2026-02-24

Abstract

Sui led major Layer 1 blockchains in token volume in early 2026, reaching $43.4 billion from January 1 to February 22, surpassing competitors like TRX and ADA. This significant volume, combined with a sharp increase in new account creation, indicates strong capital concentration and investor conviction in the SUI ecosystem. The simultaneous growth in both trading activity and network participation suggests structural momentum rather than short-term rotation, potentially positioning SUI for sustained growth and broader market recognition.

Tokens from high-growth ecosystems dominated early 2026 conversations.

Year-to-date, Sui recorded the highest Token Volume among major Layer 1 networks.

From the 1st of January to the 22nd of February, SUI reached $43.4 billion in cumulative volume. That surpassed TRX at $35.8 billion and ADA at $32.4 billion.

That gap mattered.

Capital rotated aggressively into SUI rather than dispersing across competitors. Investors positioned where liquidity deepened. The concentration signaled conviction.

Was this short-term rotation, or something more structural?

Token Volume leadership

Sui [SUI] led 2026 in Token Volume, and the margin stood out.

Outpacing established Layer 1 competitors signaled conviction. For instance, surpassing networks like Cardano and Avalanche reflected decisive capital allocation. Traders chose engagement.

Strong hands appeared to absorb the supply consistently.

Elevated trading activity unfolded alongside steady positioning. As a result, liquidity is concentrated rather than dispersed.

Moreover, leadership in Token Volume reflected real participation. It signaled preference. It suggested that capital flowed toward ecosystems showing momentum and clarity.

Network activity surges past major Layer 1 rivals

SUI Network Activity did not crawl upward. It surged. New account creation accelerated over recent days. The expansion was sharp and visible.

Fresh participants entered with purpose.

As seen in the data, user inflows aligned with rising Token Volume.

Therefore, engagement deepened structurally. This was not background noise. It was an expansion. Meanwhile, this growth pattern suggested investors were positioning early.

Ecosystem strength often preceded broader recognition.

Is rapid account growth signaling a breakout year for SUI?

Rapid account expansion often preceded broader ecosystem recognition.

When Token Volume and new accounts grew simultaneously, momentum tended to build. The structure strengthened.

Looking ahead, SUI’s leadership in Token Volume, combined with sustained Network Activity, suggested deliberate positioning.

Should participation hold at current levels, the ecosystem could command sustained capital attention.

Momentum formed. Structure supported it. The next phase would determine durability.


Final Summary

  • Sui led 2026 year-to-date Token Volume at $43.4B, ahead of TRX ($35.8B) and ADA ($32.4B).
  • Liquidity is concentrated in SUI rather than dispersing across major Layer 1 competitors.

Trending Cryptos

Related Questions

QWhich Layer 1 network led in Token Volume in early 2026 and by how much?

ASui (SUI) led in Token Volume in early 2026 with $43.4 billion.

QWhat two major Layer 1 networks did Sui surpass in cumulative volume from January 1st to February 22nd?

ASui surpassed TRX ($35.8 billion) and ADA ($32.4 billion) in cumulative volume.

QWhat does the concentration of liquidity into SUI, as opposed to being dispersed, signal according to the article?

AThe concentration of liquidity into SUI signaled investor conviction and decisive capital allocation.

QBesides high Token Volume, what other on-chain metric showed significant growth for the SUI network?

ANew account creation, or Network Activity, surged and accelerated alongside the rising Token Volume.

QWhat does the simultaneous growth in Token Volume and new accounts often precede for an ecosystem?

AThe simultaneous growth in Token Volume and new accounts often precedes broader ecosystem recognition and sustained momentum.

Related Reads

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit21m ago

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit21m ago

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit25m ago

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit25m ago

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit25m ago

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit25m ago

Trading

Spot

Hot Articles

How to Buy SUI

Welcome to HTX.com! We've made purchasing SUI Network (SUI) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy SUI Network (SUI) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your SUI Network (SUI)After purchasing your SUI Network (SUI), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade SUI Network (SUI)Easily trade SUI Network (SUI) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

9.5k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy SUI

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SUI (SUI) are presented below.

活动图片